One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | dep_one_cmp_cl_iov_05 |
|---|---|
| Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
| Keywords: | one compartment model; dep_one_cmp_cl; iov |
|---|---|
| Input Script: | dep_one_cmp_cl_iov_05_fit.pyml |
| Input Data: | synthetic_data.csv |
| Diagram: |
Initial fixed effect estimates¶
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100
f[CL_iov] = 0.0100
Outputs¶
Final fitted fixed effects¶
f[KA] = 1.0000
f[CL] = 1.9129
f[V] = 20.2481
f[PNOISE_STD] = 0.2087
f[ANOISE_STD] = 0.0483
f[CL_isv] = 0.2392
f[CL_iov] = 0.0075
Fitted parameter .csv files¶
| Fixed Effects: | fx_params.csv (fit) |
|---|---|
| Random Effects: | rx_params.csv (fit) |
| Model params: | mx_params.csv (fit) |
| State values: | sx_params.csv (fit) |
| Predictions: | px_params.csv (fit) |
Plots¶
Comparison¶
Compare Main f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA] | 1.0000 | 0.5000 | 1.0000 | 0.5000 |
| f[CL] | 1.9129 | 1.0000 | 0.9129 | 0.9129 |
| f[V] | 20.2481 | 15.0000 | 0.3499 | 5.2481 |
Compare Noise f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.2087 | 0.2000 | 0.0435 | 0.0087 |
| f[ANOISE_STD] | 0.0483 | 0.2000 | 0.7583 | 0.1517 |
Compare Variance f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[CL_isv] | 0.2392 | 0.0100 | 22.9190 | 0.2292 |
| f[CL_iov] | 0.0075 | 0.0100 | 0.2514 | 0.0025 |